English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

One of challenges toward development of usable speech enabled Geographical Information Systems (GIS) is how to handle vagueness that naturally exist in human-GIS communication. The meaning of some spatial concepts are not only fuzzy, but also context dependent. To enable the GIS to handle the vagueness problem, in particular, the context-dependency subproblem, we propose to design a collaborative speech enabled GIS, which can emulate a human GIS operator's role and handle the vagueness problem in communication through collaborative dialogues. To emulate a human GIS operator's role, the GIS must have knowledge corresponding to a human GIS operator's knowledge involved in handling the vagueness problem. This paper describes a knowledge elicitation study that we conducted to elicit human GIS operators' knowledge about how to handle the vagueness problem through collaborative dialogues. A speech enabled GIS, Dave_G, incorporates part of the study results. This system is able to handle the vagueness problem through various collaborative dialogues.

A Knowledge Elicitation Study for a Speech Enabled GIS to Handle Vagueness in Communication